Design techniques of eNVM-enabled neuromorphic computing systems

Chang Song, Beiye Liu, Chenchen Liu, Hai Helen Li, Yiran Chen
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引用次数: 4

Abstract

The recently emerged research on “neuromorphic computing”, which stands for hardware acceleration of brain-inspired computing, has become one of the most active research areas in computer engineering. In this invited paper, we start with a background introduction of neuromorphic computing, followed by some examples of hardware acceleration schemes of learning and neural network algorithms on emerging nonvolatile memory (eNVM)-based neuromorphic computing engine. At the end, we share our prospects on the future technology challenges and advances of neuromorphic computing.
基于envm的神经形态计算系统设计技术
近年来兴起的“神经形态计算”(neuromorphic computing)研究,即大脑启发计算的硬件加速,已成为计算机工程中最活跃的研究领域之一。在这篇受邀的论文中,我们首先介绍了神经形态计算的背景,然后是一些基于新兴的非易失性存储器(eNVM)的神经形态计算引擎的学习和神经网络算法的硬件加速方案的例子。最后,我们对未来的技术挑战和神经形态计算的进展进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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